Art

J-GLOBAL ID：201802267138867151   Reference number：18A0318725

これからの医療におけるAIの活用と課題

Author (1)： OE KAZUHIKO (東京大学大学院医学系研究科医療情報学分野)
Material： 医薬品情報学  (Japanese Journal of Drug Informatics)
Volume： 19  Issue： 3  Page： N1_2-N3(J-STAGE)  Publication year： 2017 
JST Material Number： L5202A  ISSN： 1345-1464  Document type： Article
Article type： 解説  Country of issue： Japan (JPN)  Language： JAPANESE (JA)

Thesaurus term： *artificial intelligence ,...
Semi thesaurus term： *medical services

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JST classification (1)： Medicine in general  (GA01010Y)

Reference (5)：

• 1) Shortliffe EH, Davis R, Axline SG, et al. Computer-based consultations in clinical therapeutics: explanation and rule acquisition capabilities of the MYCIN system. Comput. Biomed. Res. 1975; 8: 303-20.
• 2) Litjens G, Kooi T, Bejnordi BE, et al. A survey on deep learning in medical image analysis. arXiv : 1702.05747v2[cs.CV]. https://arxiv.org/pdf/1702.05747.pdf (accessed 30 July, 2017)
• 3) Esteva A, Kuprel B, Novoa RA, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature 542(7639): 115-8, 2017.
• 4) Riccardo M, Li L, Brian A, et al. Deep patient: an unsupervised representation to predict the future of patients from the electronic health records. Scientific Reports 6, Article number: 26094 (2016).
• 5) Kurasawa H, Hayashi K, Fujino A, et al. Machine-learning-based prediction of a missed scheduled clinical appointment by patients with diabetes. J Diab Sci Technol 2016; 10: 730-6.

Terms in the title (3)： 医療 ,  AI ,  活用